Huiting Liu
- Artificial Intelligence top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Co-authors
- Xindong WuPeng ZhaoPeipei LiGeng ChenMarcel WeilShiyi ZhaoHuang ZhangAlessandro Innocenti
- Topics
- Recommender Systems and Techniques (13 papers)Domain Adaptation and Few-Shot Learning (7 papers)Advanced Graph Neural Networks (7 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Huiting Liu
59 papers receiving 469 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 219
- Information Systems 146
- Electrical and Electronic Engineering 118
- Computer Vision and Pattern Recognition 96
- Mechanical Engineering 63
Countries citing papers authored by Huiting Liu
This map shows the geographic impact of Huiting Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Huiting Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiting Liu more than expected).
Fields of papers citing papers by Huiting Liu
This network shows the impact of papers produced by Huiting Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Huiting Liu. The network helps show where Huiting Liu may publish in the future.
Co-authorship network of co-authors of Huiting Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Huiting Liu. A scholar is included among the top collaborators of Huiting Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huiting Liu. Huiting Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 8 | |
| 14 | 52 | |
| 15 | 10 | |
| 16 | Expectation-based top-N Recommendation Approach for Improving Recommendations Diversity | 1 |
| 17 | Research on Syllable Segmentation Method | 1 |
| 18 | Researches on application of case-based reasoning in decision science | 3 |
| 19 | Improved genetic algorithm to traveling salesman problem | 1 |
| 20 | Case-based Reasonor Based on Multi-layered Feedforward Neural Network | 9 |
About Huiting Liu
Huiting Liu is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 63 papers that have together received 479 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (13 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Graph Neural Networks (7 papers). The work is most often cited by research in Artificial Intelligence (219 citations), Information Systems (146 citations) and Computer Vision and Pattern Recognition (96 citations). Huiting Liu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xindong Wu, Peng Zhao, Peipei Li, Peng Zhao, Geng Chen, Marcel Weil, Shiyi Zhao, Huang Zhang, Alessandro Innocenti and Maider Zarrabeitia. Their work appears in journals such as The Journal of Physical Chemistry B, Scientific Reports and ACS Applied Materials & Interfaces.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.